Image de couverture de livre

The Cost of Avoiding Backpropagation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Panchal, Kunjal, Choudhary, Sunav, Brun, Yuriy, Guan, Hui
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Thinking Forward: Memory-Efficient Federated Finetuning of Language Models
par: Panchal, Kunjal, et autres
Publié: (2024)

Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing
par: Panchal, Kunjal, et autres
Publié: (2022)

Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse
par: Panchal, Kunjal, et autres
Publié: (2025)

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
par: Mozaffari, Hamid, et autres
Publié: (2024)

CATTO: Balancing Preferences and Confidence in Language Models
par: Parikh, Nisarg, et autres
Publié: (2026)

Improving Selective Classification with Pairwise Queries for Binary Classification
par: Vardhan, Harsh, et autres
Publié: (2026)

Sparse Linear Bandits with Blocking Constraints
par: Jain, Adit, et autres
Publié: (2024)

Sequential Causal Discovery with Noisy Language Model Priors
par: Verma, Prakhar, et autres
Publié: (2025)

Reducing the Cost of Quantum Chemical Data By Backpropagating Through Density Functional Theory
par: Mathiasen, Alexander, et autres
Publié: (2024)

Optimal Control Theoretic Neural Optimizer: From Backpropagation to Dynamic Programming
par: Liu, Guan-Horng, et autres
Publié: (2025)

Stochastic Minimum-Cost Reach-Avoid Reinforcement Learning
par: Pan, Jingduo, et autres
Publié: (2026)

Learning to Reason in LLMs by Expectation Maximization
par: Lee, Junghyun, et autres
Publié: (2025)

Backpropagation Neural Tree
par: Ojha, Varun, et autres
Publié: (2022)

Practical Boolean Backpropagation
par: Golbert, Simon
Publié: (2025)

Efficient Deep Learning with Decorrelated Backpropagation
par: Dalm, Sander, et autres
Publié: (2024)

Solving Minimum-Cost Reach Avoid using Reinforcement Learning
par: So, Oswin, et autres
Publié: (2024)

Towards Scalable Backpropagation-Free Gradient Estimation
par: Wang, Daniel, et autres
Publié: (2025)

THDC: Training Hyperdimensional Computing Models with Backpropagation
par: Dejonghe, Hanne, et autres
Publié: (2026)

Efficient Backpropagation with Variance-Controlled Adaptive Sampling
par: Wang, Ziteng, et autres
Publié: (2024)

Backpropagation on Dynamical Networks
par: Tan, Eugene, et autres
Publié: (2022)

Adversarial Disentanglement by Backpropagation with Physics-Informed Variational Autoencoder
par: Koune, Ioannis Christoforos, et autres
Publié: (2025)

Unbiased Approximate Vector-Jacobian Products for Efficient Backpropagation
par: Bakong, Killian, et autres
Publié: (2026)

Backpropagation through Combinatorial Algorithms: Identity with Projection Works
par: Sahoo, Subham Sekhar, et autres
Publié: (2022)

Can Local Learning Match Self-Supervised Backpropagation?
par: Zihan, Wu S., et autres
Publié: (2026)

Fast and Interpretable Autoregressive Estimation with Neural Network Backpropagation
par: Lucena, Anaísa, et autres
Publié: (2026)

Unlocked Backpropagation using Wave Scattering
par: Pehle, Christian, et autres
Publié: (2026)

Subspace Optimization for Backpropagation-Free Continual Test-Time Adaptation
par: Sójka, Damian, et autres
Publié: (2026)

Less Memory Means smaller GPUs: Backpropagation with Compressed Activations
par: Barley, Daniel, et autres
Publié: (2024)

Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency
par: Zhang, Yibo Jacky, et autres
Publié: (2026)

BASIS: Balanced Activation Sketching with Invariant Scalars for "Ghost Backpropagation"
par: Khasia, Vladimer
Publié: (2026)

LBI: Parallel Scan Backpropagation via Latent Bounded Interfaces
par: Lee, Shaun Christopher, et autres
Publié: (2026)

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint
par: Chopra, Harshita, et autres
Publié: (2024)

Backpropagation-Free Metropolis-Adjusted Langevin Algorithm
par: Cobb, Adam D., et autres
Publié: (2025)

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
par: Paulus, Anselm, et autres
Publié: (2024)

Training Implicit Networks for Image Deblurring using Jacobian-Free Backpropagation
par: Liu, Linghai, et autres
Publié: (2024)

Stabilizing Backpropagation in 16-bit Neural Training with Modified Adam Optimizer
par: Yun, Juyoung
Publié: (2023)

Parallel Backpropagation for Shared-Feature Visualization
par: Lappe, Alexander, et autres
Publié: (2024)

HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation
par: Dudek, Grzegorz, et autres
Publié: (2025)

Dense Backpropagation Improves Training for Sparse Mixture-of-Experts
par: Panda, Ashwinee, et autres
Publié: (2025)

GRADE: Replacing Policy Gradients with Backpropagation for LLM Alignment
par: Nel, Lukas Abrie
Publié: (2025)